ShengShu Technology, a global leader in multimodal generative AI, has officially introduced Vidu Q2 “Reference-to-Video,” marking a significant leap forward in the evolution of AI-generated video content. This new release shifts the role of AI from simply creating movement to performing it, blending technological precision with artistic storytelling to deliver cinematic, emotionally resonant, and visually consistent videos.
The “Reference-to-Video” feature enables creators to produce expressive, realistic content using up to seven reference images for faces, gestures, props, or scenes. It can merge multiple unrelated elements into a single, cohesive video with high visual fidelity. Through its Multiple-Entity Consistency technology, each component of a scene retains its unique characteristics even as the narrative unfolds or the environment shifts. Combined with faster rendering speeds and more accessible pricing, this advancement brings AI video creation closer to the mainstream creative market.
Marketing Technology Insights: Ars X Machina Launches Real-Time Media Measurement Platform Agile Mix Modeling
“Vidu Q2 ‘Reference-to-Video’ marks a new chapter in AI video creation,” said Yihang Luo, CEO of ShengShu Technology. “We’re moving into a time where AI can mimic human looks and express emotions with cinematic flair. This launch goes beyond basic video creation; it’s about teaching AI to act and tell stories alongside creators.”
Vidu Q2 brings a heightened level of realism to AI-generated video. It captures subtle emotions such as a hesitant smile or a look of anticipation, and movements flow naturally, moving away from stiff, mechanical motions. The system also integrates cinematic filmmaking techniques including smooth camera transitions, dynamic depth of field, and seamless shot changes between wide and close-up frames. This allows creators to build emotionally rich and visually stunning narratives without needing extensive post-production adjustments.
Marketing Technology Insights: Celerant Launches Geo-Fencing in Mobile Apps To Turn Nearby Shoppers Into Buyers
A key highlight of this launch is the Vidu Q2 MaaS API, which has been made available globally, giving businesses the ability to integrate Reference-to-Video capabilities into their workflows. Early adoption has already been observed across advertising and e-commerce sectors, where the model’s high consistency and lifelike quality have proven valuable. The technology supports detailed, stable visuals even in complex camera movements, enabling realistic product showcases and commercial storytelling with enhanced creative control.
This latest release builds on ShengShu’s history of AI innovation. The company’s previous breakthroughs, such as the U-ViT architecture and UniDiffuser, laid the foundation for faster and more capable multimodal models. The Vidu series has consistently pushed boundaries, from enabling multi-character consistency to cost-efficient cinematic transitions. Now, Vidu Q2 “Reference-to-Video” brings all these innovations together in one platform, ushering in a new era of AI performance.
Marketing Technology Insights: TNL Mediagene and Geniee Partner To Expand Access To Advertising Creative Solution Cr.ED
For media inquiries, you can write to our MarTech Newsroom at sudipto@intentamplify.com
